Cloudyn Expands Support to Google Cloud Engine

Cloudyn's customer base is predominantly AWS users, but these customers are showing deep interest in Google Cloud Engine. The company has added GCE analytics support, including porting and comparisons with AWS.

Data Center Knowledge

January 30, 2014

3 Min Read
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Cloudyn, provider of multi-dimensional cloud analytics, has expanded to offer support for Google Compute, cloud comparison and porting recommendations. The company predominantly monitors Amazon Web Services deployments, but says that it is seeing healthy demand amongst its customers for the same service on Google’s new offering.

Cloudyn will provide role-based insights into Google cloud spend, multi-dimensional view of cost, usage and performance. A granular view down to resource level, as well as capacity and cost trending. It now provides a single view of AWS and Google Cloud engine, comparisons, what if deployment configuration simulations and accurate porting recommendations by cost, performance and location.

The company says it has moved to offer support for Google Cloud Engine (GCE) based on customer interest.

"When we opened up our beta program, our customer base exhibited strong interest, with 35 percent asking to participate," said Sharon Wagner, CEO of Cloudyn. "We’re very pleased to have extended our offering to support our customers and the slew of enterprises migrating their business to the cloud. Going forward, what we expect to unfold is akin to an 'Expedia for the cloud,' where real brokerage empowerment is taking hold and the best deals are offered between sellers and buyers. I have no doubt 2014 will be an interesting year for both vendors and their customers.”

The company underwent a study to compare and contrast AWS and Google Compute.  Findings show that Google is an attractive option to 53 percent of its AWS customers. “Google is attractive to half of Amazon customers, which is quite an amazing number,” said said Vitally Tavor, Cloudyn Founder and VP Products. “With Google, there’s much faster network and IO performance. With Google you have high disc performance to start with. Google is using its own infrastructure. You’re able to build a fault tolerant deployment that is much simpler and better performing.”

Has a true competitor to AWS emerged? Wide adoption of Google Apps by DevOps, Google’s existing customer relationships, and its formidable infrastructure are all reasons that Cloudyn believes Google Cloud Engine (GCE) will be the one to take on AWS.

Cloudyn examined the usage of 500 of its customers, and found several key statistics. 53 percent of its customers will find GCE attractive. Some of the advantages of GCE include faster network and I/O by default (AWS provisioned-IOPS matches GCE’s default, but costs double).

The company shows that there are distinct pricing advantages with both platforms. GCE offers sub hour billing, which the company says is better for short running instances. AWS wins in cost-performance if leveraging Reserved Instances and Spots. The company gives cost results from 2 distinct customer use cases running MapReduce jobs,  generating the following findings:

  • Customer A typically runs 1000 x m1.large instances, with ~40 minutes average runtime per instance. The MR instances are running on-demand. Due to GCE's per minute billing and lower prices, moving to GCE would save the company ~40%.

  • Customer B's workload is very similar to Customer A; however, Customer B’s typical job is in the range of 80 minutes, with ~800 m1.large instances per job. Yet, by using Spot instances and calculating the transition, in this case, GCE would actually be ~10% more expensive, despite the sub-hour billing of Google.

Because of the difference in pricing for both services, there are advantages and disadvantages, depending on the use case. This is where Cloudyn hopes to step in and help customers. The company has expanded to Google Compute because it believes that ability to intelligently choose vendors and run workloads on different clouds is key for enterprises.

Cloudyn monitors cost, performance, usage and lifecycle, offering optimization recommendations such as deployment right sizing, resource relocation and reassignment and pricing model modifications. It’s currently monitoring over 50,000 virtual machines on AWS, which it equates to around 7 percent of AWS’ capacity. The company touts 1200 clients with 2000 AWS accounts, doubling its revenue every quarter for the last 4 quarters.  “What we see across our customers, is that 15% of capacity is Systems Intergrators managing capacity on behalf of clients,” said Tavor. “We think this number will grow. “We’re also seeing growing concern among customers about amazon lock-in.”

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